WearCapture v0.1.1

WearCapture v0.1.1

Patch release focused on profiles, deterministic regression coverage, and release artifact publishing.

Added

• Named profile system (wearcapture/profiles.py) with builtin + user JSON profiles
• Profile auto-suggestion by connected device model and display size
• CLI profile management commands (profiles list/suggest/import/export)
• Capture-time profile controls (--profile, --save-profile, --profile-file)
• UI profile actions (apply, save, import, export) and device-driven profile suggestion
• Synthetic fixture regression suite for overlap trimming, termination thresholds, and stitched-size baselines

Changed

• Build workflow now uploads matrix binaries directly to tag releases
• Packaging supports optional binary name suffixes for cross-platform release assets

Fixed

• CI package import stability (editable install before pytest)

Closed roadmap items

• #1 Per-device tuning profiles
• #4 Automated engine regression suite with synthetic scroll fixtures

WearCapture v0.1.0

WearCapture v0.1.0

Initial public release of WearCapture: cross-platform Wear OS long screenshot capture over local ADB.

Highlights

• Robust capture engine using adb exec-out screencap -p and swipe-driven scrolling
• Overlap-aware stitching in memory (no intermediate image files)
• Scroll stop detection with similarity + low-motion safeguards + max swipe cap
• CLI mode and desktop UI mode
• Stop & Save support during active capture
• Optional circular export mask

New in this release

• Desktop UI migrated to PySide6
• Packaging automation via PyInstaller (scripts/package.py)
• GitHub Actions CI + binary build workflows
• Tuned defaults validated on live watch runs
• Real watch-generated examples included in docs

Roadmap

• Per-device tuning profiles: https://github.com/Rahyan/WearCapture/issues/1
• Live preview and progress metrics: https://github.com/Rahyan/WearCapture/issues/2
• Export options and quality controls: https://github.com/Rahyan/WearCapture/issues/3
• Engine regression fixture suite: https://github.com/Rahyan/WearCapture/issues/4